Sentence examples for error minimization algorithms from inspiring English sources
A third approach has used error minimization algorithms to predict scale structures under the assumption of competing preferences for small integer ratios and equal intervals between successive scale tones [15], [16].
A multivariable error minimization algorithm was used over a sequential component scheme to provide global convergence.
The model was solved by numerical calculation and the parameters were obtained by fitting the experimental data by means of an error minimization algorithm.
Also, the parameters in (19) and (20) are estimated using the prediction error minimization (PEM) algorithm here, with the objective of minimizing prediction errors.
Experimental results show high accuracy and significant error minimization of firefly algorithm over other metaheuristic optimization algorithms including genetic algorithms and particle swarm optimization.
The use of new topologies, converter architecture, and switching strategies is greatly facilitated by multiloop regulation and dynamic absolute error minimization using PSO and GA search algorithms.
SVM learning algorithms are based on the structural risk minimization, which is different from the empirical error minimization used in the traditional machine learning algorithms.
Various parameter estimation techniques such as maximum likelihood estimation [41], prediction error minimization (PEM) [42], trust-region SQP algorithm [43] etc. have been used previously by researchers to estimate parameters of a model.
The original algorithm performs an error minimization over the manifold of rotations through an iterative scheme based on Gauss Newton optimization, provided that a set of exact correspondences is known beforehand.
The algorithm employs iterative mean squared error minimization using least squares curve fitting [64].
Our reconfigurable algorithm combines the system-wide mean squared error minimization criterion with the single-user waterfilling solution to maximize each user's transmission rate according to the interference levels and channel conditions.
